Machine Learning and Artificial Intelligence (AI) have become the buzzword in the tech industry. There is a lot of conversation around the opportunities presented by Machine Learning. Emerging technologies like machine learning are quickly evolving but they also bring with them a sense of fear and excitement.
What is Deep Learning?
Artificial Intelligence (AI) is a technology that allows machines to perform tasks that require human intelligence. The technology encompasses machine learning, where machines can learn and acquire skills without any human assistance. Deep Learning is a subset of Machine Learning, which enables machines to learn from Artificial Neural Networks and algorithms. Just like how humans learn from different experiences, deep learning algorithms are designed to perform the same task to improve the outcomes.
The resources help in enriching the accuracy of deep learning models. Deep Learning models require a ton of data to learn from. The advent of Big Data is an important reason why deep learning capabilities are improving with each day. Apart from data creation, these algorithms benefit from the strong computing power that’s available today.
The integration of artificial intelligence and cloud platforms has also helped in boosting data creation. The proliferation of artificial intelligence (AI) as a service has helped small organisations access artificial intelligence technologies. The technology can help machines in solving complex problems using vast data sets that are diverse, unstructured and interconnected.
Practical examples of deep learning
1. Voice assistance
Several tech giants working on smart technologies are using deep learning models. Siri, Alexa, Google Assistant, and Cortana use virtual assistants to understand your speech and language. Deep Learning models are helping these virtual assistants to improve the experience of end users.
2. Autonomous cars
The way an autonomous vehicle understands the realities of the world is based on deep learning algorithms. The complex data sets and driving patterns are helping in the evolution of driverless cars.
Customer service around the world has benefitted from the arrival of chatbots and services bots. The technology powering these bots is an example of the deep learning model. Companies are feeding their customer support data to these bots to help them mimic the human-like customer support experience.
4. Facial recognition
The face tagging suggestions that you get on Facebook is the best example of facial recognition powered by deep learning models. The challenge here is in identifying that it’s the same person even when they change their facial features like hairstyle or beard.
Deep Learning can enable the medical field to diagnose diseases like tumor. The technology has gained the attention of large pharmaceutical and medical companies around the world. It can help in improving the efficiency of the treatment and service in the medical field.